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Computer systems are increasingly bottlenecked by data movement costs and are no longer able to keep up with the “big data” explosion. This trend is compounded by the fact that data in memory is stored without any consideration of data content, usage patterns, or how data are grouped into higher-level objects. Many algorithms also exhibit poor temporal locality (because they only touch data items once) and poor spatial locality (because they exhibit irregular access patterns across vast data sizes), making caches inefficient. MORE >

 

News

Best paper award winners

CRISP researchers from Cornell and UCLA received the Best Paper Award at the 27th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays held in Seaside, CA, February 24-26, 2019.

Yuan Xie photo

CRISP Assistant Center Director Yuan Xie, University of California Santa Barbara, received the 10-Year Retrospective Most Influential Paper award for his paper titled "System-Level Cost Analysis and Design Exploration for Three-Dimensional Integrated Circuits (3D IC's)". This paper was submitted in 2009 to the Asia South Pacific Design Automation Conference (ASP-DAC). 

Four Cohorts at U.S. research universities were selected to offer the Joint University Microelectronics Program (JUMP) Undergraduate Research Initiative (URI), including the University of Virginia.